Search

With the innovative advance in science and technology, manufacturing production methods have made considerable progress. However, before the production process is actually implemented, it is important to examine whether the design can meet the actual need. By applying cyber-physical system technology to test the production process, the development problems of the actual construction can be avoided. Based on the existing components, this study incorporated the cyber-physical system via innovative integration. In addition to the human–machine interface, this was employed as the operating spindle to integrate the material color identification system of the physical organization. This study also adopted the automated virtual factory constructed by the simulation software of Factory IO with an aim to achieve the technical application. [ABSTRACT FROM AUTHOR]

In order to accurately evaluate the autonomous communication and networking capability of these unmanned system which was instructive to the intelligent collaboration of UAV (unmanned aerial vehicle) system,the research of the UAV system which was adapted to the complex environment with countermeasure possibilities was focused on.The autonomous communication and networking capability of UAV system and their relationship from multiple perspectives was analyzed and modeled,including self-adaptation,self-decision,man-UAV interaction,cyber-physical integration and evolution,and an example was provided to illustrate the detailed evaluation process.The example results show that the proposed method comprehensively consider all the key aspects of the performance evaluation,which can be used to quantitatively evaluate the autonomous communication and networking capability of different UAVs or other unmanned systems.

The motivation of our work is to demonstrate that scientists can describe biochemical assays using a high-level domain-specific programming language and can execute them automatically on a two-dimensional electrowetting array featuring integrated sensors that provide feedback in real-time to the host PC that controls the integrated system. The fundamental research problem that this paper addresses is how to express, at a high level of abstraction, the acquisition of sensory information from the device, and the computation on that data, which is required to perform real-time decision making in response. The approach that we have taken is first, to create a new version of BioCoder, a programming language for automated biology, which we have specialized for electrowetting arrays featuring integrated sensors, and second, to use this language to specify two feedback-driven Polymerase Chain Reaction (PCR) assays at the desired level of abstraction. Our methodology is to evaluate the performance of these assays using a custom-build runtime system to control the execution of feedback-driven assays on a cycle-accurate software simulator that accurately characterizes the behavior of the electrowetting platform during assay execution. The result of this experiment is successful simulation of these non-trivial feedback-driven assays, starting from a high-level specification, which allows us to conclude that high-level programming language design and implementation targeting electrowetting (or other competing laboratory-on-a-chip technologies) is feasible.

The motivation of our work is to demonstrate that scientists can describe biochemical assays using a high-level domain-specific programming language and can execute them automatically on a two-dimensional electrowetting array featuring integrated sensors that provide feedback in real-time to the host PC that controls the integrated system. The fundamental research problem that this paper addresses is how to express, at a high level of abstraction, the acquisition of sensory information from the device, and the computation on that data, which is required to perform real-time decision making in response. The approach that we have taken is first, to create a new version of BioCoder, a programming language for automated biology, which we have specialized for electrowetting arrays featuring integrated sensors, and second, to use this language to specify two feedback-driven Polymerase Chain Reaction (PCR) assays at the desired level of abstraction. Our methodology is to evaluate the performance of these assays using a custom-build runtime system to control the execution of feedback-driven assays on a cycle-accurate software simulator that accurately characterizes the behavior of the electrowetting platform during assay execution. The result of this experiment is successful simulation of these non-trivial feedback-driven assays, starting from a high-level specification, which allows us to conclude that high-level programming language design and implementation targeting electrowetting (or other competing laboratory-on-a-chip technologies) is feasible.

This paper proposes a hierarchical modeling framework for micro energy grid (MEG) from the perspective of cyber-physical integration, including three layers: object layer, integration layer and decision layer. This modeling framework can fully reveal the interplay of the information flow and energy flow in MEG. The energy hub approach is used to uniformly describe the conversion and distribution of different energy sources in the object layer. The state machine is used to describe the characteristics of energy flow and information flow and their dynamic relationships in the integration layer, where the energy flow describes the dynamic balance of energy between the supply side and demand side and the energy changes of each unit in MEG, and the information flow describes the transferring process of each unit’s operating state and the conditions triggering the state transformation. The optimization objective of the decision layer is established based on the actual requirements with optimal operation. The combination of the three-layer model forms the overall model of the MEG. Finally, a typical MEG system is taken as an example to verify the proposed modeling approach, and the results show that the proposed modeling method effectively improves the observability and optimal operation of the MEG.

Recently, along with the wide application of new generation information technologies (New IT) in manufacturing, many countries issued their national advanced manufacturing development strategies, such as Industrial Internet, Industry 4.0, and Made in China 2025. One common aim of these strategies is to achieve smart manufacturing, which demands the interoperation, integration, and fusion of the physical world and the cyber world of manufacturing. As well, New IT [such as Internet of Things (IoT), cloud computing, big data, mobile Internet, and cyber-physical systems (CPS)] have played pivotal roles in promoting smart manufacturing. Data generated in the physical world can be sensed and transfered to the cyber world through IoT and the Internet, and be processed and analyzed by cloud computing, big data technologies to adjust the physical world. The physical world and the cyber world of manufacturing are integrated based on CPS. On the other hand, servitization has become a prominent trend in the manufacturing. Embracing the concept of “Manufacturing-as-a-Service,” manufacturing is provided as service for users. Because of the characteristics of interoperability and platform independence, services pave the way for large-scale smart applications and manufacturing collaboration. Combining New IT and services, this paper proposes a framework—New IT driven service-oriented smart manufacturing (SoSM). SoSM aims at facilitating the visions of smart manufacturing by making full use of New IT and services. Complementary to the framework of SoSM, the New IT driven typical characteristics of SoSM are also investigated and discussed, respectively. [ABSTRACT FROM AUTHOR]

The current study on digital factory (DF) meets some problems, such as disconnected manufacturing sites, independent digital models, isolated data, and non-self-controlled applications. In order to move current situation of DFs forward towards smart manufacturing, this paper attempts to present an overview of current digital situation of factories, and propose a systematical framework of cyber-physical integration in factories, with consideration of the concept of digital twin and the theory of manufacturing service. Particularly, the proposed framework includes four key issues, i.e., (a) fully interconnected physical elements integration, (b) faithful-mirrored virtual models integration, (c) all of elements/flows/businesses-covered data fusion, and (d) data-driven and application-oriented services integration. The corresponding implementable solutions of these four key issues are discussed in turn. As a reference, this paper is promising to bridge the gap in factories from current digital situation to smart manufacturing, so as to effectively facilitate their smart production. [ABSTRACT FROM AUTHOR]

Digital twin provides an effective way for the cyber-physical integration of manufacturing. Meanwhile, smart manufacturing services could optimize the entire business processes and operation procedure of manufacturing, to achieve a new higher level of productivity. The combination of smart manufacturing services and digital twin would radically change product design, manufacturing, usage, MRO and other processes. Combined with the services, the digital twin will generate more reasonable manufacturing planning and precise production control to help achieve smart manufacturing, through the two-way connectivity between the virtual and physical worlds of manufacturing. This paper specifies and highlights how manufacturing services and digital twin are converged together and the various components of digital twin are used by manufacturers in the form of services. [ABSTRACT FROM AUTHOR]